Older People's Family Contacts and Long‐term Care Expenditure in OECD Countries: A Comparative Approach Using Qualitative Comparative Analysis
Bibliographic record
Abstract
Abstract In recent decades there has been a suggestion that public and private long‐term care (LTC) expenditure might be replacing traditional family care for older people. The decline of family contact is known to be more advanced in some OECD countries than others, with southern Europe identified as where family contact is still strong. This article explores at a country level whether there is an association between levels of expenditure on long‐term care and the availability of family contacts. Qualitative Comparative Analysis is used as a comparative method, so as to use national quantitative indicators with a small sample of countries. An association between higher levels of family contact and lower levels of expenditure on LTC is suggested, but it is weakened by a number of untypical cases. Countries that defy this relationship have government care policies that seek to promote informal social care through the family contact that continues to be available. Austria, Canada, Great Britain and Japan are discussed in this context.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.014 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".